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Evaluating efficiencies of Chinese commercial banks in the context of stochastic multistage technologies

Listed author(s):
  • Huang, Tai-Hsin
  • Lin, Chung-I
  • Chen, Kuan-Chen
Registered author(s):

    This paper proposes a stochastic network model under the framework of the stochastic frontier approach, which allows firms to produce outputs through multistage processes so that we can characterize the underlying technologies and assess technical efficiency in each subsector of a firm. Our model explicitly considers the links among subsectors and overcomes the failure of network DEA that fails to estimate the fractions of shared inputs employed by subsectors, when only aggregate data are available. We compile data from the Chinese banking industry over the period 2002–2015 to exemplify our approach with the help of copula methods. Under the assumption of two production stages - i.e., deposit-gathering and loan-expansion stages - we find that banks allocate roughly 59% and 61% of labor and capital, respectively, to collect deposits in the first stage and that the average technical efficiency scores in both production stages are respectively 68% and 84%. Our study supports the previous findings that joint-stock banks are the most technically efficient, while larger commercial banks, including the big four state-owned banks, are the least technically efficient.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X16303250
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    Article provided by Elsevier in its journal Pacific-Basin Finance Journal.

    Volume (Year): 41 (2017)
    Issue (Month): C ()
    Pages: 93-110

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    Handle: RePEc:eee:pacfin:v:41:y:2017:i:c:p:93-110
    DOI: 10.1016/j.pacfin.2016.12.008
    Contact details of provider: Web page: http://www.elsevier.com/locate/pacfin

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    1. Kao, Chiang, 2009. "Efficiency decomposition in network data envelopment analysis: A relational model," European Journal of Operational Research, Elsevier, vol. 192(3), pages 949-962, February.
    2. Evan Kraft & Richard Hofler & James Payne, 2006. "Privatization, foreign bank entry and bank efficiency in Croatia: a Fourier-flexible function stochastic cost frontier analysis," Applied Economics, Taylor & Francis Journals, vol. 38(17), pages 2075-2088.
    3. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    4. Evan Rawley & Timothy S. Simcoe, 2010. "Diversification, Diseconomies of Scope, and Vertical Contracting: Evidence from the Taxicab Industry," Management Science, INFORMS, vol. 56(9), pages 1534-1550, September.
    5. Subal Kumbhakar & Dan Wang, 2007. "Economic reforms, efficiency and productivity in Chinese banking," Journal of Regulatory Economics, Springer, vol. 32(2), pages 105-129, October.
    6. Atkinson, Scott E & Cornwell, Christopher, 1994. "Parametric Estimation of Technical and Allocative Inefficiency with Panel Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(1), pages 231-243, February.
    7. Matthews, Kent, 2013. "Risk management and managerial efficiency in Chinese banks: A network DEA framework," Omega, Elsevier, vol. 41(2), pages 207-215.
    8. Baumol, William J, 1982. "Contestable Markets: An Uprising in the Theory of Industry Structure," American Economic Review, American Economic Association, vol. 72(1), pages 1-15, March.
    9. Dong, Yizhe & Hamilton, Robert & Tippett, Mark, 2014. "Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis," Economic Modelling, Elsevier, vol. 36(C), pages 298-308.
    10. Berger, Allen N. & Leusner, John H. & Mingo, John J., 1997. "The efficiency of bank branches," Journal of Monetary Economics, Elsevier, vol. 40(1), pages 141-162, September.
    11. Holod, Dmytro & Lewis, Herbert F., 2011. "Resolving the deposit dilemma: A new DEA bank efficiency model," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2801-2810, November.
    12. Barten, A. P., 1969. "Maximum likelihood estimation of a complete system of demand equations," European Economic Review, Elsevier, vol. 1(1), pages 7-73.
    13. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    14. Avkiran, Necmi K., 2011. "Association of DEA super-efficiency estimates with financial ratios: Investigating the case for Chinese banks," Omega, Elsevier, vol. 39(3), pages 323-334, June.
    15. Wen-Jen Tsay & Cliff Huang & Tsu-Tan Fu & I.-Lin Ho, 2013. "A simple closed-form approximation for the cumulative distribution function of the composite error of stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 39(3), pages 259-269, June.
    16. Chen, Yao & Cook, Wade D. & Li, Ning & Zhu, Joe, 2009. "Additive efficiency decomposition in two-stage DEA," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1170-1176, August.
    17. Altunbas, Y. & Gardener, E. P. M. & Molyneux, P. & Moore, B., 2001. "Efficiency in European banking," European Economic Review, Elsevier, vol. 45(10), pages 1931-1955, December.
    18. Hung-pin Lai & Cliff Huang, 2013. "Maximum likelihood estimation of seemingly unrelated stochastic frontier regressions," Journal of Productivity Analysis, Springer, vol. 40(1), pages 1-14, August.
    19. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2010. "The effects of focus versus diversification on bank performance: Evidence from Chinese banks," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1417-1435, July.
    20. Mitchell, Karlyn & Onvural, Nur M, 1996. "Economies of Scale and Scope at Large Commercial Banks: Evidence from the Fourier Flexible Functional Form," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(2), pages 178-199, May.
    21. Kim, H Youn, 1986. "Economies of Scale and Economies of Scope in Multiproduct Financial Institutions: Further Evidence from Credit Unions: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 18(2), pages 220-226, May.
    22. Murray D. Smith, 2008. "Stochastic frontier models with dependent error components," Econometrics Journal, Royal Economic Society, vol. 11(1), pages 172-192, March.
    23. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    24. Yao, Shujie & Han, Zhongwei & Feng, Genfu, 2008. "Ownership Reform, Foreign Competition, and Efficiency of Chinese Commercial Banks: A Non-Parametric Approach," WIDER Working Paper Series 038, World Institute for Development Economic Research (UNU-WIDER).
    25. Ku-Hsieh Chen & Hao-Yen Yang, 2011. "A cross-country comparison of productivity growth using the generalised metafrontier Malmquist productivity index: with application to banking industries in Taiwan and China," Journal of Productivity Analysis, Springer, vol. 35(3), pages 197-212, June.
    26. Jiang, Chunxia & Yao, Shujie & Zhang, Zongyi, 2009. "The effects of governance changes on bank efficiency in China: A stochastic distance function approach," China Economic Review, Elsevier, vol. 20(4), pages 717-731, December.
    27. Guohua Feng & Apostolos Serletis, 2009. "Efficiency and productivity of the US banking industry, 1998-2005: evidence from the Fourier cost function satisfying global regularity conditions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 105-138.
    28. Jun Du & Sourafel Girma, 2011. "Cost economies, efficiency and productivity growth in the Chinese banking industry: evidence from a quarterly panel dataset," Empirical Economics, Springer, vol. 41(1), pages 199-226, August.
    29. Asmild, Mette & Matthews, Kent, 2012. "Multi-directional efficiency analysis of efficiency patterns in Chinese banks 1997–2008," European Journal of Operational Research, Elsevier, vol. 219(2), pages 434-441.
    30. Peng Shi & Wei Zhang, 2011. "A copula regression model for estimating firm efficiency in the insurance industry," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2271-2287.
    31. Shujie Yao & Zhongwei Han & Genfu Feng, 2008. "Ownership Reform, Foreign Competition and Efficiency of Chinese Commercial Banks: A Non-parametric Approach," The World Economy, Wiley Blackwell, vol. 31(10), pages 1310-1326, October.
    32. Kao, Chiang & Hwang, Shiuh-Nan, 2008. "Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 185(1), pages 418-429, February.
    33. Berger, Allen N. & Hanweck, Gerald A. & Humphrey, David B., 1987. "Competitive viability in banking : Scale, scope, and product mix economies," Journal of Monetary Economics, Elsevier, vol. 20(3), pages 501-520, December.
    34. Altunbas, Yener & Evans, Lynne & Molyneux, Philip, 2001. "Bank Ownership and Efficiency," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 33(4), pages 926-954, November.
    35. Tai‐Hsin Huang & Li‐Chih Chiang & Kuan‐Chen Chen, 2011. "An Empirical Study Of Bank Efficiencies And Technology Gaps In European Banking," Manchester School, University of Manchester, vol. 79(4), pages 839-860, July.
    36. Christine Amsler & Artem Prokhorov & Peter Schmidt, 2014. "Using Copulas to Model Time Dependence in Stochastic Frontier Models," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 497-522, August.
    37. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
    38. Mester, Loretta J., 1996. "A study of bank efficiency taking into account risk-preferences," Journal of Banking & Finance, Elsevier, vol. 20(6), pages 1025-1045, July.
    39. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2009. "Bank ownership and efficiency in China: What will happen in the world's largest nation?," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 113-130, January.
    40. Dan Luo & Shujie Yao, 2010. "World financial crisis and the rise of Chinese commercial banks: an efficiency analysis using DEA," Applied Financial Economics, Taylor & Francis Journals, vol. 20(19), pages 1515-1530.
    41. Avkiran, Necmi K., 2009. "Opening the black box of efficiency analysis: An illustration with UAE banks," Omega, Elsevier, vol. 37(4), pages 930-941, August.
    42. C. Vaz & A. Camanho & R. Guimarães, 2010. "The assessment of retailing efficiency using Network Data Envelopment Analysis," Annals of Operations Research, Springer, vol. 173(1), pages 5-24, January.
    43. Kao, Chiang, 2014. "Efficiency decomposition in network data envelopment analysis with slacks-based measures," Omega, Elsevier, vol. 45(C), pages 1-6.
    44. Jonathan Williams & Edward Gardener, 2003. "The Efficiency of European Regional Banking," Regional Studies, Taylor & Francis Journals, vol. 37(4), pages 321-330.
    45. Avkiran, Necmi Kemal, 2015. "An illustration of dynamic network DEA in commercial banking including robustness tests," Omega, Elsevier, vol. 55(C), pages 141-150.
    46. Elena Beccalli & Pascal Frantz, 2009. "M&A Operations and Performance in Banking," Journal of Financial Services Research, Springer;Western Finance Association, vol. 36(2), pages 203-226, December.
    47. Ariff, Mohamed & Can, Luc, 2008. "Cost and profit efficiency of Chinese banks: A non-parametric analysis," China Economic Review, Elsevier, vol. 19(2), pages 260-273, June.
    48. Prieto, Angel M. & Zofio, Jose L., 2007. "Network DEA efficiency in input-output models: With an application to OECD countries," European Journal of Operational Research, Elsevier, vol. 178(1), pages 292-304, April.
    49. Altunbas, Yener & Liu, Ming-Hau & Molyneux, Philip & Seth, Rama, 2000. "Efficiency and risk in Japanese banking," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1605-1628, October.
    50. Yong Tan & Christos Floros, 2013. "Market power, stability and performance in the Chinese banking industry," Economic Issues Journal Articles, Economic Issues, vol. 18(2), pages 65-90, September.
    51. Mei-Ying Huang & Tsu-Tan Fu, 2013. "An examination of the cost efficiency of banks in Taiwan and China using the metafrontier cost function," Journal of Productivity Analysis, Springer, vol. 40(3), pages 387-406, December.
    52. Fare, Rolf & Grosskopf, Shawna, 2000. "Network DEA," Socio-Economic Planning Sciences, Elsevier, vol. 34(1), pages 35-49, March.
    53. Chen, Chien-Ming, 2009. "A network-DEA model with new efficiency measures to incorporate the dynamic effect in production networks," European Journal of Operational Research, Elsevier, vol. 194(3), pages 687-699, May.
    54. Tai-Hsin Huang & Chung-Hua Shen & Kuan-Chen Chen & Shen-Ju Tseng, 2011. "Measuring technical and allocative efficiencies for banks in the transition countries using the Fourier flexible cost function," Journal of Productivity Analysis, Springer, vol. 35(2), pages 143-157, April.
    55. Yang, Chyan & Liu, Hsian-Ming, 2012. "Managerial efficiency in Taiwan bank branches: A network DEA," Economic Modelling, Elsevier, vol. 29(2), pages 450-461.
    56. Chen, Xiaogang & Skully, Michael & Brown, Kym, 2005. "Banking efficiency in China: Application of DEA to pre- and post-deregulation eras: 1993-2000," China Economic Review, Elsevier, vol. 16(3), pages 229-245.
    57. Shujie Yao & Chunxia Jiang & Genfu Feng & Dirk Willenbockel, 2007. "WTO challenges and efficiency of Chinese banks," Applied Economics, Taylor & Francis Journals, vol. 39(5), pages 629-643.
    58. Barros, Carlos P. & Chen, Zhongfei & Liang, Qi Bin & Peypoch, Nicolas, 2011. "Technical efficiency in the Chinese banking sector," Economic Modelling, Elsevier, vol. 28(5), pages 2083-2089, September.
    59. Zha, Yong & Liang, Nannan & Wu, Maoguo & Bian, Yiwen, 2016. "Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach," Omega, Elsevier, vol. 60(C), pages 60-72.
    60. Lewis, Herbert F. & Mallikarjun, Sreekanth & Sexton, Thomas R., 2013. "Unoriented two-stage DEA: The case of the oscillating intermediate products," European Journal of Operational Research, Elsevier, vol. 229(2), pages 529-539.
    61. Wang, Ke & Huang, Wei & Wu, Jie & Liu, Ying-Nan, 2014. "Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA," Omega, Elsevier, vol. 44(C), pages 5-20.
    62. Lin, Xiaochi & Zhang, Yi, 2009. "Bank ownership reform and bank performance in China," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 20-29, January.
    63. Jiang, Chunxia & Yao, Shujie & Feng, Genfu, 2013. "Bank ownership, privatization, and performance: Evidence from a transition country," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3364-3372.
    64. Carta, Alessandro & Steel, Mark F.J., 2012. "Modelling multi-output stochastic frontiers using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3757-3773.
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